Evidence map›Paper›PMID 36450445›Full record

ArticleLife science alliance2023

Simultaneous solving high-resolution structures of various enzymes from human kidney microsomes.

Meinan Lyu, Chih-Chia Su, Masaru Miyagi, Edward W Yu

Abstract read
In one paragraph

Article in Life science alliance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Rhodopsin mislocalization drives ciliary dysregulation in a novel autosomal dominant retinitis pigmentosa knock-in mouse model.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Meinan LyuDepartment of Pharmacology, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Chih-Chia SuDepartment of Pharmacology, Case Western Reserve University School of Medicine, Cleveland, OH, USA.ORCID 0000-0003-3646-327X
Masaru MiyagiDepartment of Pharmacology, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Edward W YuDepartment of Pharmacology, Case Western Reserve University School of Medicine, Cleveland, OH, USA edward.w.yu@case.edu.ORCID 0000-0001-5912-1227

Funding

Emerging antibiotic resistance in Gram-negative pathogensR01AI145069 · NIAID · CASE WESTERN RESERVE UNIVERSITY · PI YU, EDWARD W · 2019 to 2023
$3.3M
LTQ-Orbitrap Velos instrumentS10RR031537 · NCRR · CLEVELAND CLINIC LERNER COM-CWRU · PI WILLARD, BELINDA BELLE · 2011 to 2011
$600k
NCRR NIH HHS S10 RR031537NIAID NIH HHS R01 AI145069
6 · The paper itself

Abstract

The ability to investigate tissues and organs through an integrated systems biology approach has been thought to be unobtainable in the field of structural biology, where the techniques mainly focus on a particular biomacromolecule of interest. Here we report the use of cryo-electron microscopy (cryo-EM) to define the composition of a raw human kidney microsomal lysate. We simultaneously identify and solve cryo-EM structures of four distinct kidney enzymes whose functions have been linked to protein biosynthesis and quality control, biosynthesis of retinoic acid, gluconeogenesis and glycolysis, and the regulation and metabolism of amino acids. Interestingly, all four of these enzymes are directly linked to cellular processes that, when disrupted, can contribute to the onset and progression of diabetes. This work underscores the potential of cryo-EM to facilitate tissue and organ proteomics at the atomic level.

Indexed as

KidneyMicrosomesAmino AcidsCryoelectron MicroscopyGlycolysisHumansAmino Acids

Identifiers

PMID36450445
PMCPMC9713302

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.